Receipt OCR API that reads every slip, even crumpled ones

Yes. Most receipts are photographed on a phone, often folded, faded or taken at an angle, so Mindee is trained on real-world mobile captures rather than clean scans. It handles skewed photos, shadows, low contrast and long receipts. Every extracted field comes with a confidence score. When a receipt is barely readable (for example, a totally faded thermal print), the low score flags it so you can ask the user to retake the photo instead of storing incorrect data.

Yes. Besides the merchant name, date, time, total, tax and tip, Mindee classifies each receipt into an expense category, such as food, transport, accommodation or parking. This lets you pre-fill expense reports, apply spending policies (meal caps, per diems) and route receipts to the right accounting code without manual sorting. Employees just snap a photo, and the expense line is ready for approval.

On a few receipts, an LLM can do the job. At scale, it creates risks for expense data. When a receipt is faded or partly cut off, an LLM tends to guess a plausible total or date instead of flagging the problem, and that error ends up in a reimbursement or a tax report. Mindee returns a confidence score and the location on the image for every field, so unclear values are caught before they’re approved. You also get the same JSON structure on every call, which keeps expense workflows reliable and auditable. Check Mindee vs LLMs for details.

Yes, your data is highly secured and protected during the entire conversion process. As an enterprise-grade OCR solution, Mindee takes data privacy very seriously. Here are the key security measures in place:

• Certified compliance: Mindee's infrastructure is SOC 2 Type II certified and fully GDPR compliant, ensuring strict industry standards for data protection.
• Encryption: All documents and extracted data are fully encrypted both in transit (during the API call) and at rest.
• Data localization: You have control over where your data is processed, with the option to host and process your data on either EU or US servers.
• Strict privacy: Mindee respects data confidentiality. Your processed documents are not shared with third parties, and your private data is not used to train global AI models.

In short, your sensitive documents are processed in a secure, isolated environment and remain completely under your control.

We provide a 14 days free trial so you can fully test any of our OCR models — no credit card required. After this, we offer different pricing tiers depending of the volume of pages processed and the features you might need. See the pricing page for more information.

The supported document formats are:

• PDF (application/pdf) – While technically a document format rather than an image, it is natively supported for all extraction models.
• JPEG / JPG (image/jpeg)
• PNG (image/png) – Must be non-animated.
• WebP (image/webp)
• TIFF / TIF (image/tiff) – Both single-page and multi-page TIFFs are supported and processed similarly to PDFs.
• HEIC (image/heic) – Apple's High-Efficiency Image Container format.

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📌 Important technical limitations to keep in mind:

To ensure the OCR pipeline runs smoothly and successfully returns your JSON, make sure your files adhere to the following constraints:

• Maximum file size: 100 MB per file.
• Maximum page count: Up to 200 pages per document.
• File state: The files cannot be encrypted, and PDFs must not be password-protected.